Search Results for "rna analysis"
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Showing 34 open source projects for "rna analysis"
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1
Bowtie 2
A fast and sensitive gapped read aligner
...The tool builds compact FM-index-based reference indexes, keeping memory usage low even for large genomes like the human genome. Bowtie 2 outputs alignments in SAM format and includes companion utilities for building and inspecting indexes. It is widely used in bioinformatics pipelines for RNA-seq, DNA-seq, metagenomics, variant analysis, and other sequencing-based research tasks. Overall, Bowtie 2 remains a foundational command-line tool for high-throughput sequence alignment and reproducible computational biology workflows. -
2
miRge3
Comprehensive analysis of small RNA sequencing data
An update to Python package to perform comprehensive analysis of small RNA sequencing data, including miRNA annotation, A-to-I editing, novel miRNA detection, isomiR analysis, visualization through IGV, processing Unique Molecular Identifieres (UMI), tRF detection and producing interactive graphical output. miRge3.0 is developed in python v3.8 and is a recent update of our previous version miRge2.0. -
3
relax
Molecular dynamics by NMR data analysis
The software package 'relax' is designed for the study of molecular dynamics through the analysis of experimental NMR data. Organic molecules, proteins, RNA, DNA, sugars, and other biomolecules are all supported. It supports exponential curve fitting for the calculation of the R1 and R2 relaxation rates, calculation of the NOE, reduced spectral density mapping, the Lipari and Szabo model-free analysis, study of domain motions via the N-state model and frame order dynamics theories using anisotropic NMR parameters such as RDCs and PCSs, the investigation of stereochemistry in dynamic ensembles, and the analysis of relaxation dispersion data. -
4
MAF
Bash Framework to combine many preprocessing and alignment tools
DNA and RNA nucleotide sequences are an ubiquitous element of all biological cells and are serving on one hand as a comprehensive library of capabilities for the cells and on the other as an impressive regulatory system to control cellular function. The presented multi-alignment framework (MAF) should give researchers a simple sequence alignment platform as a functional template, flexible enough to adjust all steps but also comprehensive enough to join many different tools and custom parameter combinations if in-depth analysis is necessary or advised in e.g. low read rate situations. ... -
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5
Fusion Detection Pipeline
Fusion gene detection pipeline bundled into a Singularity container.
Fusion gene detection by RNA-seq requires prior setup of several software modules and dependencies which might be troublesome. Furthermore, fusion detection tools tend to report many false positives. Therefore, we developed a detection and filtering workflow bundled into a Singularity container for a streamlined and easy-to-use application. Arriba and FusionCatcher are utilized for fusion calling. Our filtering pipeline uses read counts generated by FeatureCounts and insert size estimation... -
6
CSBB-v2.1 [CSBB-v3.0 is now available]
Computational Suite For Bioinformaticians and Biologists
...CSBB is implemented in Perl, while it also leverages the use of R, java and ruby in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX and Windows platforms. Currently CSBB provides 17 modules focused on analytical tasks like normalization, visualization, statistics, RNA-SEQ etc. -
7
CSBB-v3.0
CSBB - Computational Suite for Bioinformaticians and Biologists
CSBB is a command line-based bioinformatics suite to analyze biological data acquired through varied avenues of biological experiments. CSBB is implemented in Perl, while it also leverages the use of R, java, python and ruby in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux,... -
8
lr2rmats
Long read to rMATS
lr2rmats is a Snakemake-based light-weight pipeline which is designed to utilize both third-generation long-read and second-generation short-read RNA-seq data to generate an enhanced gene annotation file. The newly generated annotation file could be provided to rMATS for differential alternative splicing analysis. More information can be found at https://sourceforge.net/p/lr2rmats/wiki/Home/ -
9
MethyMer
Design of specific primer combinations for bisulfite sequencing
...SpG islands) and includes specificity test (based on bowtie alignment against bisulfite-treated genome). It also incorporates TCGA CpG methylation (microarrays) and gene expression (RNA-Seq) data, as well as methylation-expression correlation analysis results for 20 human cancer types. ENCODE genome regions annotation data are also integrated in MethyMer -
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10
Crosshub
Multi-way analysis of The Cancer Genome Atlas (TCGA) project datasets
RNA-Seq vs. clinical (TNM, stage, follow-up) correlation analysis Generates Excel summaries. For details, see the manual or article G.S. Krasnov et al. NAR 2016, Pubmed ID: 26773058 -
11
CSBB-v2.0
Computational Suite for Bioinformaticians and Biologists
...CSBB is implemented in Perl, while it also leverages the use of R, java and ruby in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX and Windows platforms. Currently CSBB provides 16 modules focused on analytical tasks like normalization, visualization, statistics, RNA-SEQ etc. -
12
ViralFusionSeq [VFS]
Accurately discover viral integration events and fusion transcripts
VFS was fullly tested under Ubuntu/Debian system. ** Announcement 1**: VFS is superior to Virus-Clip. https://sourceforge.net/projects/viralfusionseq/files/VFS.vs.Virus-Clip.pdf/download As of 2016, VFS is the only viral integration tool available at NIH HPC system. https://hpc.nih.gov/apps/ViralFusionSeq/ ViralFusionSeq (VFS) is a versatile high-throughput sequencing (HTS) tool for discovering viral integration events and reconstruct fusion transcripts at single-base... -
13
ISVASE
identification of sequence variant associated with splicing event
To generate correct mature mRNAs, the exons must be identified and joined together precisely and efficiently by RNA splicing mechanism. It is to be noted that about one third or a half of all disease-causing mutations effect RNA splicing. However, there is little bioinformatics tools to directly identify sequence variants associated with splicing events (SVASE) based on RNA-seq data. We developed ISVASE, a simple and convenient tool for identifying SVASE directly using RNA-seq data.... -
14
CoverageAnalyzer
RNA modification detection by RT signatures in deep sequencing data
...CoverageAnalyzer was developed in response to the demand for a powerful inspection tool, running on all 3 OSes. With SAM standard as input and an intuitive GUI, even non-experts can accomplish a variety of tasks, from visualization of RNA Seq data, up to sophisticated modification analysis with significance-based candidate calling. -
15
BamBam
Tools for genomic analysis
BamBam includes numerous tools for analyzing DNA next-generation sequencing data. Tools are provided for calling SNPs and indels, identifying large scale deletions, tabulating counts of mapped reads, methylation analysis, and more. Depends on SAMtools (http://samtools.sourceforge.net/) and BAMtools (https://github.com/pezmaster31/bamtools). Also uses BioPerl, which is included in the download tarball. -
16
ChIP-RNA-seqPRO
ChIP-RNA-sequencing-processing (ChIP-RNA-seqPRO)
ChIP-RNA-seqPRO: A strategy for identifying regions of epigenetic deregulation associated with aberrant transcript splicing and RNA-editing sites. Runnable python scripts packaged together with customized annotation libraries, demo data input and README guide. 9/26 : v1.1 Updated MAIN_IV to debug error thrown by python pandas no longer supporting 'subset'. -
17
riboFR-seq
A novel approach to linking 16S rRNA amplicon profiles to metagenomes
...Here we propose a novel approach, RiboFR-Seq (Ribosomal RNA gene Flanking Region Sequencing), for capturing both ribosomal RNA variable regions and their flanking protein-coding genes simultaneously. We demonstrated that RiboFR-Seq could detect the vast majority of bacteria not only in well-studied microbiomes but also in novel communities with limited reference genomes. Combined with classical amplicon sequencing and shotgun metagenome sequencing, RiboFR-Seq can link the annotations of 16S rRNA and metagenomic contigs to make a consensus classification. -
18
IM-TORNADO
Illinois Mayo Taxonomy Operations for RNA Database Operations
IM-TORNADO HAS MOVED TO GITHUB: https://github.com/pjeraldo/imtornado2 Pipeline for analysis of paired-end 16S rDNA amplicon data. -
19
BIRAP
Bacterial Intergenic Region Analysis Pipeline
BIRAP (Bacterial Intergenic Region Analysis Pipeline) is an open source, easy to use Perl pipeline that can be used to re-annotate bacterial genomes using experimental data. The tool integrates expression profile derived from RNA-seq and/or proteogenomics, compares it with existing in silico annotation and helps validate annotation, identify novel protein coding regions, putative non-coding RNA as well as help correct er-rors in the existing annotation. -
20
PRADA
PRADA : Pipeline for RNA-Sequencing Data Analysis
Massively parallel sequencing of cDNA reverse transcribed from RNA (RNASeq) provides an accurate estimate of the quantity and composition of mRNAs. To characterize the transcriptome through the analysis of RNA-seq data, we developed PRADA. PRADA focuses on the processing and analysis of gene expression estimates, supervised and unsupervised gene fusion identification, and supervised intragenic deletion identification. -
21
CIMS
Crosslinking induced mutation site analysis
This package includes the scripts to detect statistically reproducible crosslinking induced mutation sites (CIMS) and cross linking induced truncation sites (CITS) from HITS-CLIP data. References: Moore, M.*, Zhang, C.*, Gantman, E.C., Mele, A., Darnell, J.C., Darnell, R.B. 2014. Mapping Argonaute and conventional RNA-binding protein interactions with RNA at single-nucleotide resolution using HITS-CLIP and CIMS analysis. Nat Protocols, 9:263-293. Zhang,C.†, Darnell, R.B.† 2011. Mapping in vivo protein-RNA interactions at single-nucleotide resolution from HITS-CLIP data. Nat. Biotech. 29:607-614. -
22
StatAlign
An extendable statistical multiple alignment tool.
StatAlign is an extendable software package for Bayesian analysis of Protein, DNA and RNA sequences. Multiple alignments, phylogenetic trees and evolutionary parameters are co-estimated in a Markov Chain Monte Carlo framework, allowing for reliable measurement of the accuracy of the results. This approach eliminates common artifacts that traditional methods suffer from, at the cost of increased computational time. -
23
Digital Expression on the Web
DEW is a platform that allows users to explore RNA-Seq data
DEW is a platform that allows users to explore RNA-Seq data. A web-based Graphical User Interface is included. The analysis proceeds as such: gapped alignments are performed and corrected for length, PCR and fragment bias so that a Fragment Per (effective) Kilobase per Million of reads (FPKM) is estimated as well as the simpler Reads Per Kb per Million of reads (RPKM). When provided with multiple isoforms and in the ‘contextual’ mode, corrections include a expectation maximization algorithm estimates effective expression profiles and a corrected alignment is produced. ... -
24
CAPE RNA
Classification based Analysis of Paired Expression data of RNA
CAPE RNA is package of command-line tools for integrated analysis of miRNA-mRNA expression data. miRNA-mRNA interaction states are assigned for each sample independent of a priori known experimental groups. Using these interaction classifications Jaccard-indexes are calculated to evaluate the quality of a predicted interaction based on the distribution of assigned interaction states compared to experimental groups. -
25
Deem
Analyze time-course data with significance tests, clustering, modeling
Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional...
